{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a63c0e19-3902-44ee-9b02-ba7ecfdb5268",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n",
      "Files already downloaded and verified\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "squirrel tulip butterfly beetle trout mushroom spider tulip camel trout kangaroo flatfish raccoon forest television aquarium_fish man   tiger mountain poppy oak_tree train bowl  orchid poppy bicycle house streetcar seal  snake hamster bee  \n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "import torchvision\n",
    "import torchvision.transforms as transforms\n",
    "from useful_tools import *\n",
    "import torch.optim as optim\n",
    "import torch.nn as nn\n",
    "from torch.nn import functional as F\n",
    "from chao_kk import *\n",
    "from torch.optim import lr_scheduler\n",
    "\n",
    "\n",
    "batch_size = 32\n",
    "trainloader, testloader, classes = get_dataLoader(batch_size)\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "def imshow(img):\n",
    "    img = img / 2 + 0.5     # unnormalize\n",
    "    npimg = img.numpy()\n",
    "    plt.imshow(np.transpose(npimg, (1, 2, 0)))\n",
    "    plt.show()\n",
    "dataiter = iter(trainloader)\n",
    "images, labels = next(dataiter)\n",
    "imshow(torchvision.utils.make_grid(images))\n",
    "print(' '.join(f'{classes[labels[j]]:5s}' for j in range(batch_size)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0a20afd9-e695-4f86-b63b-3c0806770d13",
   "metadata": {},
   "outputs": [],
   "source": [
    "def padding_size(dilation, kernel_size):\n",
    "  return dilation * (kernel_size - 1) // 2\n",
    "\n",
    "def conv3x3(in_channel, out_channel, stride, dilation = 1):\n",
    "  return nn.Conv2d(in_channel, out_channel, kernel_size = 3, stride = stride, padding = padding_size(dilation, 3), bias = False, dilation = dilation)\n",
    "\n",
    "def conv1x1(in_channel, out_channel, stride = 1, dilation = 1):\n",
    "  return nn.Conv2d(in_channel, out_channel, kernel_size = 1, stride = stride, padding = 0, bias = False, dilation = dilation).to(device)\n",
    "\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "40b594e2-7202-4aeb-9135-5f66ec684d03",
   "metadata": {},
   "outputs": [],
   "source": [
    "Highway_threshold = 4\n",
    "#这个东西是限制特征图大小的。要是太大了的话光是这个门就已经很夸张了。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9dfeb024-658e-4038-84ae-cf607e2047f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "class HighwayNetwork(nn.Module):\n",
    "  def __init__(self, wh_threshold = Highway_threshold):\n",
    "    super(HighwayNetwork, self).__init__()\n",
    "    # 降维操作，将输入形状降低到一个较小的维度\n",
    "    self.pool = nn.AvgPool2d(kernel_size = 2, stride = 2)\n",
    "    self.wh_threshold = wh_threshold\n",
    "    self.gate = None\n",
    "    self.sigmoid = nn.Sigmoid()\n",
    "    self.channel_conv = None\n",
    "\n",
    "  def forward(self, origin_x, layer_out, down_sample_origin_x):\n",
    "    b, c, w, h = origin_x.shape\n",
    "    temp_w = w\n",
    "    while temp_w > self.wh_threshold:\n",
    "        origin_x = self.pool(origin_x)\n",
    "        temp_w /= 2\n",
    "    b, c_out, w_o, h_o = layer_out.shape\n",
    "      \n",
    "    if c_out != c:\n",
    "      if self.channel_conv is None:\n",
    "        self.channel_conv = conv1x1(c, c_out)\n",
    "      origin_x = self.channel_conv(origin_x)\n",
    "        \n",
    "    b, c, w_f, h_f = origin_x.shape\n",
    "    in_s = w_f * h_f\n",
    "    origin_x_flat = origin_x.view(c, b, in_s)\n",
    "\n",
    "    if self.gate is None:\n",
    "        ou_s = w_o * h_o\n",
    "        self.gate = [\n",
    "            nn.Linear(in_s, ou_s).to(device)\n",
    "            for _ in range(c)\n",
    "        ]\n",
    "\n",
    "    # 计算门控函数\n",
    "    T = self.sigmoid(torch.stack([\n",
    "        self.gate[i](origin_x_flat[i].to(device)) for i in range(c)\n",
    "    ])).view(layer_out.size())\n",
    "\n",
    "        \n",
    "\n",
    "    # 根据门控函数进行加权求和\n",
    "    H = layer_out * T + down_sample_origin_x * (1 - T)\n",
    "    return H"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8a1eb695-87a9-4d22-a3f7-b19a22baf1e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "class ResBlock(nn.Module):\n",
    "  def __init__(self, in_channel, out_channel, stride, downsample = None, dilation = 1):\n",
    "    super(ResBlock, self).__init__()\n",
    "    self.conv1 = conv3x3(in_channel, out_channel, stride, dilation)\n",
    "    self.bn1 = nn.BatchNorm2d(out_channel)\n",
    "    self.conv2 = conv3x3(out_channel, out_channel, 1, dilation)\n",
    "    self.bn2 = nn.BatchNorm2d(out_channel)\n",
    "    self.relu = nn.ReLU()\n",
    "    self.downsample = downsample\n",
    "      \n",
    "    self.highway = HighwayNetwork()\n",
    "\n",
    "  def forward(self, x):\n",
    "    origin_x = x\n",
    "    x = self.conv1(x)\n",
    "    x = self.bn1(x)\n",
    "    x = self.relu(x)\n",
    "    x = self.conv2(x)\n",
    "    layer_out = self.bn2(x)\n",
    "    down_sample_orgin_x = origin_x\n",
    "    if self.downsample != None:\n",
    "      down_sample_orgin_x = self.downsample(origin_x)\n",
    "        \n",
    "    x = self.highway(origin_x, layer_out, down_sample_orgin_x)\n",
    "    x = self.relu(x)\n",
    "    return x\n",
    "\n",
    "class ResNet(nn.Module):\n",
    "  def __init__(self, classes, base_channel = 64):\n",
    "    super(ResNet, self).__init__()\n",
    "    # 老实说，我怕64、128……512通道实在是太慢了，通过base_channel来调节通道。感觉可以设置为16\n",
    "    self.base_channel = base_channel\n",
    "    self.conv1 = conv3x3(3, base_channel, 1)\n",
    "    self.bn = nn.BatchNorm2d(base_channel)\n",
    "    self.relu = nn.ReLU()\n",
    "    self.max_pool = nn.MaxPool2d(kernel_size = 2, stride = 2)\n",
    "    self.conv2_x = self.init_ResBlock(base_channel * 1, base_channel * 1, stride = 1, block_num = 2, dilation = 1)\n",
    "    self.conv3_x = self.init_ResBlock(base_channel * 1, base_channel * 2, stride = 2, block_num = 2, dilation = 1)\n",
    "    self.conv4_x = self.init_ResBlock(base_channel * 2, base_channel * 4, stride = 2, block_num = 2, dilation = 1)\n",
    "    self.conv5_x = self.init_ResBlock(base_channel * 4, base_channel * 8, stride = 2, block_num = 2, dilation = 1)\n",
    "    self.avg = nn.AvgPool2d(kernel_size = 2, stride = 2)\n",
    "    self.fc = nn.Linear(base_channel * 8 * 4, len(classes))\n",
    "\n",
    "  def forward(self, x):\n",
    "    x = self.conv1(x)\n",
    "    x = self.bn(x)\n",
    "    x = self.relu(x)\n",
    "    x = self.conv2_x(x)\n",
    "    x = self.conv3_x(x)\n",
    "    x = self.conv4_x(x)\n",
    "    x = self.conv5_x(x)\n",
    "    x = self.avg(x)\n",
    "    x = x.view(x.size(0), -1)\n",
    "    x = self.fc(x)\n",
    "    return x\n",
    "\n",
    "  def init_ResBlock(self, in_channel, out_channel, stride, block_num, dilation):\n",
    "    downsample = None #这个好东西是用来把特征图宽高缩小的\n",
    "    if stride != 1 or in_channel != out_channel:\n",
    "      # 对于3*3的padding为1的卷积核，如果stride为1的话卷完后特征图宽高是不变的。\n",
    "      # 如果stride是2的话，那么宽高会变成原来的一半。\n",
    "      # 计算：out = (in/2 - 1/2)向下取整 + 1， 也就是in/2 - 1 + 1 = in / 2\n",
    "      downsample = nn.Sequential(\n",
    "                conv3x3(in_channel, out_channel, stride=stride),\n",
    "                nn.BatchNorm2d(out_channel)\n",
    "                )\n",
    "    return nn.Sequential(*[\n",
    "        ResBlock(in_channel, out_channel, stride, downsample = downsample, dilation = dilation) if i == 0 else\n",
    "        ResBlock(out_channel, out_channel, 1, dilation = dilation)\n",
    "        for i in range(block_num)\n",
    "    ])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1fc55884-0a41-46af-bbb8-bcc55be86d47",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cuda\n"
     ]
    }
   ],
   "source": [
    "net = ResNet(classes = classes, base_channel = 64).to(device)\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer = optim.SGD(net.parameters(), lr=0.001, momentum=0.9)\n",
    "#optimizer = optim.Adam(net.parameters(), lr=0.001)\n",
    "print(device)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "01598712-6734-4930-9f2a-75286ca12563",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cuda\n"
     ]
    }
   ],
   "source": [
    "learning_rate=0.05\n",
    "momentum=0.9\n",
    "weight_decay=0.0001\n",
    "batch_size=128\n",
    "epochs=25\n",
    "data_path='./data'\n",
    "model_name='ResNet182'+'epoch='+str(epochs)\n",
    "print(device)\n",
    "criterion=nn.CrossEntropyLoss()\n",
    "optimizer = optim.SGD(net.parameters(), lr=learning_rate, momentum=momentum, weight_decay=weight_decay)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "48493633-6b18-408a-a0cd-b770da9f40b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch:0,train_loss:3.9365,train_acc:9.5020,train_top5_acc:28.8360,test_loss:3.5277,test_acc:16.4700,test_top5_acc:41.8300\n",
      "epoch:1,train_loss:3.1211,train_acc:23.1820,train_top5_acc:52.1040,test_loss:2.8390,test_acc:28.6400,test_top5_acc:59.4600\n",
      "epoch:2,train_loss:2.5047,train_acc:35.3700,train_top5_acc:66.8300,test_loss:2.3241,test_acc:39.5500,test_top5_acc:70.9900\n",
      "epoch:3,train_loss:2.0054,train_acc:46.1000,train_top5_acc:77.2360,test_loss:2.0015,test_acc:46.2700,test_top5_acc:76.7700\n",
      "epoch:4,train_loss:1.6124,train_acc:55.1080,train_top5_acc:84.3820,test_loss:1.9964,test_acc:47.1100,test_top5_acc:77.4800\n",
      "epoch:5,train_loss:1.2789,train_acc:63.2980,train_top5_acc:89.6280,test_loss:1.8868,test_acc:50.2300,test_top5_acc:79.7800\n",
      "epoch:6,train_loss:0.9799,train_acc:71.1520,train_top5_acc:93.6380,test_loss:1.8380,test_acc:52.0300,test_top5_acc:81.2900\n",
      "epoch:7,train_loss:0.7123,train_acc:78.3940,train_top5_acc:96.6440,test_loss:1.9342,test_acc:52.2000,test_top5_acc:80.9200\n",
      "epoch:8,train_loss:0.5055,train_acc:84.5640,train_top5_acc:98.3660,test_loss:2.1115,test_acc:51.3100,test_top5_acc:80.4500\n",
      "epoch:9,train_loss:0.3669,train_acc:88.6260,train_top5_acc:99.2380,test_loss:2.3423,test_acc:50.0600,test_top5_acc:78.6500\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[8], line 5\u001b[0m\n\u001b[1;32m      3\u001b[0m train_top5_accs, test_top5_accs \u001b[38;5;241m=\u001b[39m [], []\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m epoch \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(epochs):\n\u001b[0;32m----> 5\u001b[0m     train_loss,train_acc,train_top5_acc\u001b[38;5;241m=\u001b[39m\u001b[43mnew_train\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnet\u001b[49m\u001b[43m,\u001b[49m\u001b[43mtrainloader\u001b[49m\u001b[43m,\u001b[49m\u001b[43mcriterion\u001b[49m\u001b[43m,\u001b[49m\u001b[43moptimizer\u001b[49m\u001b[43m,\u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      6\u001b[0m     test_loss,test_acc,test_top5_acc\u001b[38;5;241m=\u001b[39mtest(net,testloader,criterion,device)\n\u001b[1;32m      7\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mepoch:\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m,train_loss:\u001b[39m\u001b[38;5;132;01m{:.4f}\u001b[39;00m\u001b[38;5;124m,train_acc:\u001b[39m\u001b[38;5;132;01m{:.4f}\u001b[39;00m\u001b[38;5;124m,train_top5_acc:\u001b[39m\u001b[38;5;132;01m{:.4f}\u001b[39;00m\u001b[38;5;124m,test_loss:\u001b[39m\u001b[38;5;132;01m{:.4f}\u001b[39;00m\u001b[38;5;124m,test_acc:\u001b[39m\u001b[38;5;132;01m{:.4f}\u001b[39;00m\u001b[38;5;124m,test_top5_acc:\u001b[39m\u001b[38;5;132;01m{:.4f}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mformat(epoch,train_loss,train_acc,train_top5_acc,test_loss,test_acc,test_top5_acc))\n",
      "File \u001b[0;32m~/deep-learning/FuTong/优化highway/useful_tools.py:262\u001b[0m, in \u001b[0;36mnew_train\u001b[0;34m(model, trainloader, criterion, optimizer, device)\u001b[0m\n\u001b[1;32m    260\u001b[0m data,target\u001b[38;5;241m=\u001b[39mdata\u001b[38;5;241m.\u001b[39mto(device),target\u001b[38;5;241m.\u001b[39mto(device)\n\u001b[1;32m    261\u001b[0m optimizer\u001b[38;5;241m.\u001b[39mzero_grad()\n\u001b[0;32m--> 262\u001b[0m output\u001b[38;5;241m=\u001b[39m\u001b[43mmodel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    263\u001b[0m loss\u001b[38;5;241m=\u001b[39mcriterion(output,target)\n\u001b[1;32m    264\u001b[0m loss\u001b[38;5;241m.\u001b[39mbackward()\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1496\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m   1497\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m   1498\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m   1499\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m   1500\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1502\u001b[0m \u001b[38;5;66;03m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m   1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[38;5;241m=\u001b[39m [], []\n",
      "Cell \u001b[0;32mIn[5], line 49\u001b[0m, in \u001b[0;36mResNet.forward\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m     47\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrelu(x)\n\u001b[1;32m     48\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconv2_x(x)\n\u001b[0;32m---> 49\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconv3_x\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     50\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconv4_x(x)\n\u001b[1;32m     51\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconv5_x(x)\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1496\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m   1497\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m   1498\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m   1499\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m   1500\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1502\u001b[0m \u001b[38;5;66;03m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m   1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[38;5;241m=\u001b[39m [], []\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/site-packages/torch/nn/modules/container.py:217\u001b[0m, in \u001b[0;36mSequential.forward\u001b[0;34m(self, input)\u001b[0m\n\u001b[1;32m    215\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mforward\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;28minput\u001b[39m):\n\u001b[1;32m    216\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m module \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m:\n\u001b[0;32m--> 217\u001b[0m         \u001b[38;5;28minput\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[43mmodule\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    218\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28minput\u001b[39m\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1496\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m   1497\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m   1498\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m   1499\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m   1500\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1502\u001b[0m \u001b[38;5;66;03m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m   1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[38;5;241m=\u001b[39m [], []\n",
      "Cell \u001b[0;32mIn[5], line 24\u001b[0m, in \u001b[0;36mResBlock.forward\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m     21\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdownsample \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m     22\u001b[0m   down_sample_orgin_x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdownsample(origin_x)\n\u001b[0;32m---> 24\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhighway\u001b[49m\u001b[43m(\u001b[49m\u001b[43morigin_x\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlayer_out\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdown_sample_orgin_x\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     25\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrelu(x)\n\u001b[1;32m     26\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m x\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1496\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m   1497\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m   1498\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m   1499\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m   1500\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1502\u001b[0m \u001b[38;5;66;03m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m   1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[38;5;241m=\u001b[39m [], []\n",
      "Cell \u001b[0;32mIn[4], line 36\u001b[0m, in \u001b[0;36mHighwayNetwork.forward\u001b[0;34m(self, origin_x, layer_out, down_sample_origin_x)\u001b[0m\n\u001b[1;32m     30\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgate \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m     31\u001b[0m         nn\u001b[38;5;241m.\u001b[39mLinear(in_s, ou_s)\u001b[38;5;241m.\u001b[39mto(device)\n\u001b[1;32m     32\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m _ \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(c)\n\u001b[1;32m     33\u001b[0m     ]\n\u001b[1;32m     35\u001b[0m \u001b[38;5;66;03m# 计算门控函数\u001b[39;00m\n\u001b[0;32m---> 36\u001b[0m T \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msigmoid(torch\u001b[38;5;241m.\u001b[39mstack([\n\u001b[1;32m     37\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgate[i](origin_x_flat[i]\u001b[38;5;241m.\u001b[39mto(device)) \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(c)\n\u001b[1;32m     38\u001b[0m ]))\u001b[38;5;241m.\u001b[39mview(layer_out\u001b[38;5;241m.\u001b[39msize())\n\u001b[1;32m     42\u001b[0m \u001b[38;5;66;03m# 根据门控函数进行加权求和\u001b[39;00m\n\u001b[1;32m     43\u001b[0m H \u001b[38;5;241m=\u001b[39m layer_out \u001b[38;5;241m*\u001b[39m T \u001b[38;5;241m+\u001b[39m down_sample_origin_x \u001b[38;5;241m*\u001b[39m (\u001b[38;5;241m1\u001b[39m \u001b[38;5;241m-\u001b[39m T)\n",
      "Cell \u001b[0;32mIn[4], line 37\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m     30\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgate \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m     31\u001b[0m         nn\u001b[38;5;241m.\u001b[39mLinear(in_s, ou_s)\u001b[38;5;241m.\u001b[39mto(device)\n\u001b[1;32m     32\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m _ \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(c)\n\u001b[1;32m     33\u001b[0m     ]\n\u001b[1;32m     35\u001b[0m \u001b[38;5;66;03m# 计算门控函数\u001b[39;00m\n\u001b[1;32m     36\u001b[0m T \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msigmoid(torch\u001b[38;5;241m.\u001b[39mstack([\n\u001b[0;32m---> 37\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgate[i](\u001b[43morigin_x_flat\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m)\u001b[49m) \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(c)\n\u001b[1;32m     38\u001b[0m ]))\u001b[38;5;241m.\u001b[39mview(layer_out\u001b[38;5;241m.\u001b[39msize())\n\u001b[1;32m     42\u001b[0m \u001b[38;5;66;03m# 根据门控函数进行加权求和\u001b[39;00m\n\u001b[1;32m     43\u001b[0m H \u001b[38;5;241m=\u001b[39m layer_out \u001b[38;5;241m*\u001b[39m T \u001b[38;5;241m+\u001b[39m down_sample_origin_x \u001b[38;5;241m*\u001b[39m (\u001b[38;5;241m1\u001b[39m \u001b[38;5;241m-\u001b[39m T)\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "train_losses, test_losses = [], []\n",
    "train_accs, test_accs = [], []\n",
    "train_top5_accs, test_top5_accs = [], []\n",
    "for epoch in range(epochs):\n",
    "    train_loss,train_acc,train_top5_acc=new_train(net,trainloader,criterion,optimizer,device)\n",
    "    test_loss,test_acc,test_top5_acc=test(net,testloader,criterion,device)\n",
    "    print('epoch:{},train_loss:{:.4f},train_acc:{:.4f},train_top5_acc:{:.4f},test_loss:{:.4f},test_acc:{:.4f},test_top5_acc:{:.4f}'.format(epoch,train_loss,train_acc,train_top5_acc,test_loss,test_acc,test_top5_acc))\n",
    "\n",
    "    train_losses.append(train_loss)\n",
    "    test_losses.append(test_loss)\n",
    "    train_accs.append(train_acc)\n",
    "    test_accs.append(test_acc)\n",
    "    train_top5_accs.append(train_top5_acc)\n",
    "    test_top5_accs.append(test_top5_acc)\n",
    "\n",
    "#画图\n",
    "torch.save(net.state_dict(), model_name+'.pth')\n",
    "plot_training_results(train_losses, train_accs, train_accs, test_losses, test_accs, test_top5_accs)\n",
    "save_log(model_name,train_accs,test_accs,train_losses,test_losses,train_top5_accs,test_top5_accs,output_dir='../train_process')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a077bce8-56bf-4831-b9a0-153fdf5ac6f1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "57d622dc-2b3c-43c0-a49c-4434c9d6ccd2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f29a6591-d197-4116-bb90-9f46e1d25918",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5b42cfa9-4d57-40fd-8d22-928dc18efdbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_cpu_numpy(tensor):\n",
    "    return tensor.cpu().numpy()\n",
    "def to_cpu(list_):\n",
    "    if isinstance(list_, list):\n",
    "        return list(map(to_cpu_numpy,list_))\n",
    "    else:\n",
    "        return to_cpu_numpy(list_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "aee71f6c-d1e2-47b1-9a2a-2846eb96134d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 26354 (\\N{CJK UNIFIED IDEOGRAPH-66F2}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 20934 (\\N{CJK UNIFIED IDEOGRAPH-51C6}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 30830 (\\N{CJK UNIFIED IDEOGRAPH-786E}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 29575 (\\N{CJK UNIFIED IDEOGRAPH-7387}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 26354 (\\N{CJK UNIFIED IDEOGRAPH-66F2}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 20934 (\\N{CJK UNIFIED IDEOGRAPH-51C6}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 30830 (\\N{CJK UNIFIED IDEOGRAPH-786E}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 29575 (\\N{CJK UNIFIED IDEOGRAPH-7387}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
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      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_training_results(train_losses, to_cpu(train_top1_accs), to_cpu(train_top5_accs), val_losses, to_cpu(val_top1_accs), to_cpu(val_top5_accs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b06a3b9d-c02f-4707-8d10-1d87a5a8a9ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('baseline.pkl', 'wb') as f:\n",
    "    pickle.dump([\n",
    "        net, (train_losses, train_top1_accs, train_top5_accs, val_losses, val_top1_accs, val_top5_accs)\n",
    "    ], f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3012910e-a28e-4def-872d-6a46d9e72b64",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1a35b13b-2d28-458b-8b67-27cd3adeaeb3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6515a9de-44af-4c74-8b34-8e1b7d514b86",
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     "text": [
      "0.5612\n",
      "Accuracy for class: apple is 78.0 %\n",
      "Accuracy for class: aquarium_fish is 68.0 %\n",
      "Accuracy for class: baby  is 42.0 %\n",
      "Accuracy for class: bear  is 26.0 %\n",
      "Accuracy for class: beaver is 38.0 %\n",
      "Accuracy for class: bed   is 51.0 %\n",
      "Accuracy for class: bee   is 61.0 %\n",
      "Accuracy for class: beetle is 59.0 %\n",
      "Accuracy for class: bicycle is 69.0 %\n",
      "Accuracy for class: bottle is 67.0 %\n",
      "Accuracy for class: bowl  is 45.0 %\n",
      "Accuracy for class: boy   is 36.0 %\n",
      "Accuracy for class: bridge is 61.0 %\n",
      "Accuracy for class: bus   is 45.0 %\n",
      "Accuracy for class: butterfly is 49.0 %\n",
      "Accuracy for class: camel is 51.0 %\n",
      "Accuracy for class: can   is 55.0 %\n",
      "Accuracy for class: castle is 79.0 %\n",
      "Accuracy for class: caterpillar is 54.0 %\n",
      "Accuracy for class: cattle is 43.0 %\n",
      "Accuracy for class: chair is 80.0 %\n",
      "Accuracy for class: chimpanzee is 72.0 %\n",
      "Accuracy for class: clock is 50.0 %\n",
      "Accuracy for class: cloud is 77.0 %\n",
      "Accuracy for class: cockroach is 72.0 %\n",
      "Accuracy for class: couch is 47.0 %\n",
      "Accuracy for class: crab  is 54.0 %\n",
      "Accuracy for class: crocodile is 39.0 %\n",
      "Accuracy for class: cup   is 76.0 %\n",
      "Accuracy for class: dinosaur is 55.0 %\n",
      "Accuracy for class: dolphin is 59.0 %\n",
      "Accuracy for class: elephant is 52.0 %\n",
      "Accuracy for class: flatfish is 39.0 %\n",
      "Accuracy for class: forest is 49.0 %\n",
      "Accuracy for class: fox   is 54.0 %\n",
      "Accuracy for class: girl  is 34.0 %\n",
      "Accuracy for class: hamster is 53.0 %\n",
      "Accuracy for class: house is 56.0 %\n",
      "Accuracy for class: kangaroo is 42.0 %\n",
      "Accuracy for class: keyboard is 64.0 %\n",
      "Accuracy for class: lamp  is 48.0 %\n",
      "Accuracy for class: lawn_mower is 76.0 %\n",
      "Accuracy for class: leopard is 60.0 %\n",
      "Accuracy for class: lion  is 64.0 %\n",
      "Accuracy for class: lizard is 28.0 %\n",
      "Accuracy for class: lobster is 30.0 %\n",
      "Accuracy for class: man   is 27.0 %\n",
      "Accuracy for class: maple_tree is 56.0 %\n",
      "Accuracy for class: motorcycle is 87.0 %\n",
      "Accuracy for class: mountain is 75.0 %\n",
      "Accuracy for class: mouse is 37.0 %\n",
      "Accuracy for class: mushroom is 54.0 %\n",
      "Accuracy for class: oak_tree is 66.0 %\n",
      "Accuracy for class: orange is 86.0 %\n",
      "Accuracy for class: orchid is 69.0 %\n",
      "Accuracy for class: otter is 28.0 %\n",
      "Accuracy for class: palm_tree is 77.0 %\n",
      "Accuracy for class: pear  is 61.0 %\n",
      "Accuracy for class: pickup_truck is 64.0 %\n",
      "Accuracy for class: pine_tree is 61.0 %\n",
      "Accuracy for class: plain is 85.0 %\n",
      "Accuracy for class: plate is 61.0 %\n",
      "Accuracy for class: poppy is 64.0 %\n",
      "Accuracy for class: porcupine is 52.0 %\n",
      "Accuracy for class: possum is 36.0 %\n",
      "Accuracy for class: rabbit is 35.0 %\n",
      "Accuracy for class: raccoon is 56.0 %\n",
      "Accuracy for class: ray   is 40.0 %\n",
      "Accuracy for class: road  is 83.0 %\n",
      "Accuracy for class: rocket is 76.0 %\n",
      "Accuracy for class: rose  is 56.0 %\n",
      "Accuracy for class: sea   is 71.0 %\n",
      "Accuracy for class: seal  is 19.0 %\n",
      "Accuracy for class: shark is 48.0 %\n",
      "Accuracy for class: shrew is 43.0 %\n",
      "Accuracy for class: skunk is 71.0 %\n",
      "Accuracy for class: skyscraper is 78.0 %\n",
      "Accuracy for class: snail is 39.0 %\n",
      "Accuracy for class: snake is 52.0 %\n",
      "Accuracy for class: spider is 61.0 %\n",
      "Accuracy for class: squirrel is 29.0 %\n",
      "Accuracy for class: streetcar is 64.0 %\n",
      "Accuracy for class: sunflower is 79.0 %\n",
      "Accuracy for class: sweet_pepper is 48.0 %\n",
      "Accuracy for class: table is 48.0 %\n",
      "Accuracy for class: tank  is 70.0 %\n",
      "Accuracy for class: telephone is 62.0 %\n",
      "Accuracy for class: television is 67.0 %\n",
      "Accuracy for class: tiger is 62.0 %\n",
      "Accuracy for class: tractor is 64.0 %\n",
      "Accuracy for class: train is 61.0 %\n",
      "Accuracy for class: trout is 73.0 %\n",
      "Accuracy for class: tulip is 47.0 %\n",
      "Accuracy for class: turtle is 26.0 %\n",
      "Accuracy for class: wardrobe is 83.0 %\n",
      "Accuracy for class: whale is 62.0 %\n",
      "Accuracy for class: willow_tree is 44.0 %\n",
      "Accuracy for class: wolf  is 55.0 %\n",
      "Accuracy for class: woman is 29.0 %\n",
      "Accuracy for class: worm  is 58.0 %\n"
     ]
    }
   ],
   "source": [
    "show_all_class_acc(classes, testloader, net, device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "37015137-6e99-4720-aaa0-1146bb2f4e09",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f3e6bcd8-be18-43cf-afe4-4a35930a24cc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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